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  • Post Graduate Program-In Data Science

Post Graduate Program-In Data Science

eduplaced higher education offers a Postgraduate Program in Data Science, meticulously crafted for individuals aspiring to lead in the ever-evolving fields of data science and AI. This comprehensive program balances theoretical knowledge with practical skills, crucial for professional success. Participants will embark on a transformative journey, gaining the expertise to excel as Data Scientists, AI Researchers, or technology project leaders. Our curriculum is hands-on, featuring numerous real-world projects, and is taught by industry experts, making it suitable for both experienced professionals and those new to technology.

  • 4.9

    315,475 rating

  • 11 Lessons

  • 229 Students

  • Last updated 12/2025

By Kennedy University In Development

Data science encompasses vital domains like Artificial Intelligence, Big Data, Machine Learning, and Natural Language Processing (NLP). Today’s professionals are expected to be innovative and well-versed in the latest tech developments.

Our Postgraduate Program in Data Science is tailored for individuals from various backgrounds looking to elevate their expertise. Developed with input from industry leaders, this program is designed to accelerate your career progression and establish you as a data science expert.

The program covers essential topics such as Python, Machine Learning, Deep Learning, NLP, SQL, and AI. It combines theoretical learning with practical projects and lab experiences, preparing you for the challenges of modern tech and data environments.
Enroll in our PGP in Data Science today and take a significant step towards leading in the data science arena. Join us to turn your understanding into leadership in this dynamic field.

Data Science is incredibly vital in today’s world because there’s a lot of data being created, and companies want to use this data to make better decisions. Our Postgraduate Program in Data Science equips you with the skills to analyze and interpret substantial datasets, extracting valuable insights that significantly enhance your employability. The Bureau of Labor Statistics says that the need for data science experts will grow by 15% by 2029, which is faster than most other jobs.

Data is increasingly crucial for decision-making, and there is a growing demand for data science experts to enable companies to utilize this data effectively. Our leading Data Science Postgraduate Program provides comprehensive training in artificial intelligence, statistical data modeling, and big data technologies. These skills empower you to generate robust insights that can significantly enhance business outcomes.

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You will explore a comprehensive range of topics, including Mathematical, Logical, Statistical, Financial, Text, Datetime, and Lookup functions. You’ll delve into the essentials of Data Cleaning and Feature Engineering, learn the fundamentals of Linear Regression, and master techniques in What-if Analysis and Scenario Management.
This module delves into data representation and manipulation using Tableau and Power BI. You'll master Charts, Maps, Data Visualization, and Cleaning. The curriculum includes Table Calculations, Detail Expressions, Calculated Fields, Aggregations, and Granularity. You'll also work with Data Extracts and Filters.
This module covers data visualization with Tableau and Power BI, including Charts, Maps, Data Cleaning, Table Calculations, Detail Expressions, Calculated Fields, Aggregations, and Granularity. Learn to create impactful Dashboards and Storyboards.
This module covers key statistics concepts including Descriptive and Inferential Statistics, Normal Distribution, Probability basics, Hypothesis Testing, T-test, Z-test, Anova, Chi-squared test, and P-value.
This module covers handling missing values and outliers, categorical encoding techniques, data manipulation and transformation, data processing, feature engineering, data splitting, and feature scaling
This module covers essential libraries: Numpy for advanced math operations, Pandas for data manipulation, and Seaborn/Plotly/Matplotlib for data visualizations, including interactive and 3D visualizations.
This module covers clustering analysis, KMeans algorithm, Elbow Method, Hierarchical and DBSCAN Clustering, Dimensionality Reduction, Principal Component Analysis, and Linear Discriminant Analysis.
This module covers basic concepts of time series forecasting and models like AR, MA, ARMA, ARIMA, SARIMA, ARIMAX, SARIMAX, and introduces recommender systems, including content-based and collaborative filtering.
This module covers accessing databases with Python, loading tables, running SQL queries, and introducing query analysis for Python data frames using logical and comparison operators.
This module covers the basics of time series forecasting and models like AR, MA, ARMA, ARIMA, SARIMA, ARIMAX, SARIMAX, and introduces recommender systems, including content-based and collaborative filtering.
This module covers the history of Big Data, MapReduce concepts, an introduction to Spark, understanding Spark architecture, Big Data analysis with Spark, handling live data, and implementing machine learning algorithms on Big Data.
This module covers the fundamentals of Natural Language Processing, including text cleaning, lemmatization, stemming, text processing, and text analysis. You'll learn about sentiment analysis, topic modeling, and named entity recognition.
This module covers the fundamentals of Natural Language Processing, including text cleaning, lemmatization, stemming, text processing, and analysis. You'll also learn about sentiment analysis, topic modeling, and named entity recognition.
This module covers the fundamentals of deep learning, including detailed exploration of artificial neural networks and convolutional neural networks. You'll gain hands-on experience with popular deep learning libraries like TensorFlow and PyTorch.

$ 9000.00

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Master Key Skills to Excel in the Data Science Field

Skills You Will Learn

Unlock Your Potential with Our Premier Data Science Certification Program

Our Data Science Certification Program is designed for professionals eager to master the art of data-driven decision-making. This program is ideal for.

Aspiring Data Scientists

If you’re passionate about data and want to dive into the intricacies of data analysis and machine learning, this is your stepping stone to becoming an industry leader.

Tech Professionals

Software developers, IT managers, and system analysts who wish to integrate data science into their skillset will find this program invaluable. Enhance your technical expertise and open up new career opportunities.

Statisticians and Analysts

Expand your analytical skills into the vast domain of big data and predictive analytics. Transform raw data into insightful, strategic decisions with cutting-edge tools and methodologies.

Career Changers

If you’re looking to switch careers and have a keen interest in technology and statistics, our program provides the foundation and tools necessary to enter the exciting field of data science.

What to Expect Upon Completion?

Certified Data Science Expert program offers a comprehensive learning experience with key features like interactive sessions led by industry experts, hands-on projects, and real-world case studies. Gain skills in data analysis, machine learning, and AI with access to exclusive resources and live mentorship. Designed to equip you with in-demand skills, this program is your gateway to a successful career in Data Science.

Advanced Analytical Skills

You’ll master essential techniques in statistics, machine learning, and predictive modeling, enabling you to interpret complex data and deliver actionable insights.

Proficiency in Top Industry Tools

Graduates will gain practical experience with leading tools and technologies used in data science, such as Python, R, SQL, and Tableau, making you immediately employable.

Project Portfolio

You’ll complete multiple projects that address real-world data challenges, demonstrating your expertise and problem-solving capabilities to potential employers.

Enhanced Career Opportunities

Equipped with vital skills and knowledge, you’ll access advanced career opportunities across various sectors like technology, finance, healthcare, and more.

Network of Professionals

You’ll join a vibrant community of data science professionals and peers, a valuable network for collaboration and career advancement.

Certification of Completion

Receive a certification recognized across the industry, affirming your expertise in data science and boosting your professional credibility.

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Explore FAQs for Key Insights

on Honorary Phd by Kennedy University

Data Analysts and Data Scientists are in high demand, command excellent salaries, and play integral roles in enabling businesses to make informed decisions. They analyze data to identify crucial trends and insights, which are pivotal in strategic planning and enhancing business performance. This positions them as key contributors in sectors like finance, healthcare, and technology.

What Kind of Support can I Expect During the Program?

Participants will have access to faculty mentorship, peer collaboration, and dedicated career support to assist with internship placements and job searches post-completion.

Yes, the curriculum includes several hands-on projects designed to address real-world issues using data science tools and techniques. These projects reinforce learning and help you build a professional portfolio.

Upon successful completion, you will receive a Postgraduate Diploma in Data Science, recognized by industry leaders, enhancing your employability.

Absolutely! Data science is an excellent career choice for newcomers or beginners, offering numerous job opportunities and competitive salaries. Beginners can acquire skills in data analysis through courses, which are valuable across various industries like technology, healthcare, and finance. Embarking on a data science career is a strategic move for a stable and rewarding future.

Definitely! Even if you don’t have an IT background, you can still pursue data science. It involves understanding patterns and making data-driven decisions, skills that are teachable with the right training. Data science opens doors to exciting fields like sports, healthcare, and media. By enrolling in a structured course and practicing, anyone interested can embark on a career in this dynamic field.

At eduplaced higher education, we offer over 600 hours of live training led by industry experts. We hold special sessions to deepen your understanding of essential practical skills and core concepts. Along with customized mentoring and soft skills training, you’ll receive personalized feedback on your tests, assignments, and mock exercises.

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